Background And Aims: Basic life support (BLS) training rates vary widely worldwide, and there is a general scarcity of surveys that assess students' knowledge and awareness of BLS in middle eastern nations. This study aims to evaluate medical students' knowledge and awareness towards basic life support.
Methods: A cross-sectional study, using an online web-based questionnaire, assessing BLS awareness and knowledge, was conducted from 3 to 30 November 2021. The study included 2114 medical students from Syria, Iraq, and Jordan. The questionnaire consisted of three sections: demographic baseline characteristics, knowledge about BLS, and ability to apply basic life support. A binominal logistic regression was done between the total score and other demographic characteristics to determine if we could predict the research sample's appropriate knowledge of BLS level.
Results: There was a moderate knowledge of BLS and cardiopulmonary resuscitation (CPR) skills among participating students with an average score of 19.67 (0-34). Seventy-eight of the participants (1656) stated that they have not attended a basic life support course. There was a significant difference between the participants from different countries, where the mean score in Syria, Jordan, and Iraq was 18.3, 24.3, and 18.8, respectively (p < 0.05). Considering the level of knowledge, 18.3%, 72.8%, and 8.9% of the participants had a high, intermediate, and low level, respectively. Furthermore, students who took a BLS course had a higher level of knowledge than those who did not, with an odds ratio of 5.168 (p value < 0.0001).
Conclusion: The overall knowledge of medical students' basic life support knowledge is insufficient and need to be greatly improved. According to this study, previous participation in basic life support training had a positive effect on knowledge level. As a result, universities must establish basic life support programs as quickly as possible.
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http://dx.doi.org/10.1186/s12245-023-00521-0 | DOI Listing |
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Henan Province Engineering Research Center of Innovation for Synthetic Biology, School of Life Sciences and Technology, Xinxiang Medical University, Xinxiang, 453003, Henan, China; School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, 453003, Henan, China. Electronic address:
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Institute of Cognitive Sciences and Technologies, National Research Council, Padova, Italy. Electronic address:
By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms, constantly striving to minimize prediction errors to restrict themselves to life-compatible states. Over the past years, many studies have shown how human and animal behaviors could be explained in terms of active inference - either as discrete decision-making or continuous motor control - inspiring innovative solutions in robotics and artificial intelligence.
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Department of Biochemistry, J.N. Medical College, Faculty of Medicine, Aligarh Muslim University, Aligarh, India.
Ovarian cancer (OC) ranks as the fifth leading cause of cancer-related deaths in the United States, posing a significant threat to female health. Late-stage diagnoses, driven by elusive symptoms often masquerading as gastrointestinal issues, contribute to a concerning 70% of cases being identified in advanced stages. While early-stage OC brags a 90% cure rate, progression involving pelvic organs or extending beyond the peritoneal cavity drastically diminishes it.
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